STOCHASTIC STRUCTURE, FARM SIZE AND TECHNOLOGY ADOPTION IN DEVELOPING AGRICULTURE

1983 ◽  
Vol 35 (2) ◽  
pp. 307-328 ◽  
Author(s):  
RICHARD E. JUST ◽  
DAVID ZILBERMAN
Keyword(s):  
Technology Adoption ◽  
Stochastic Structure ◽  
Farm Size

scholarly journals Dynamic impacts of farm-level technology adoption on the Brazilian dairy supply chain

2020 ◽  
Vol 23 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Andre Rozemberg Peixoto Simões ◽  
Charles Frederick Nicholson ◽  
Andrew M. Novakovic ◽  
Roberto Max Protil
Keyword(s):  
Technology Adoption ◽  
Causal Structure ◽  
Farm Size ◽  
Small Scale ◽  
Total Production ◽  
Potential Market ◽  
Farm Profitability ◽  
Supply Relationship ◽  
Short And Long Term ◽  
On Farm

Agricultural technology adoption that increases individual firm productivity is generally assumed to improve competitiveness and profitability. However, technology that is adopted by many firms in an industry can shift the basic supply relationship, increasing total production while lowering farm prices. While generally beneficial to consumers, this result can reduce (or completely offset) benefits for farmers, especially late or non-adopters. Our objective is to assess the market dynamics of alternative assumptions about exogenous productivity-enhancing technology adoption by Brazilian dairy farms. Of particular interest is the distributional impact on farm incomes and on the proportion of milk production for different farm size classes. To achieve this objective, we developed an empirical System Dynamics model that evaluates market and farm profitability impacts from 2006 to 2016. We simulated six counterfactual scenarios comprising three rates of adoption (slow, medium and fast) by two farm size categories (small and large). Technology adoption impact differs in the short- and long-term and depending on the assumed rates and farm sizes. Non-adopters of technology can experience lower incomes and a smaller production and income shares when other farms adopt. The underlying causal structure of farm profitability and the herd management decisions suffices to explain the potential market exclusion of non-adopting farms (especially small-scale farms) when others adopt.

scholarly journals Effect of improved seed technology adoption on small-scale sorghum farmers’ productivity in Kebbi State, Nigeria

2019 ◽  
Vol 11 (1) ◽  
pp. 41-48 ◽  
Author(s):  
M.A. Ojo ◽  
D.B. Saleh ◽  
A.A.A. Coker ◽  
A.O. Ojo
Keyword(s):  
Technology Adoption ◽  
Formal Education ◽  
Agricultural Practices ◽  
Sampling Technique ◽  
Farm Size ◽  
Small Scale ◽  
Agricultural Policies ◽  
Single Digit ◽  
Productivity Level ◽  
Seed Technology

Abstract. The study examined the effect of improved seed technology adoption on small-scale sorghum farmers’ productivity in Kebbi State, Nigeria. Multistage sampling technique was employed in determining the sample size from the sample frame, 240 respondents were sampled using proportionate sampling technique. Data for the study were collected using structured questionnaire containing open and closed ended questions. The data collected were analyzed using descriptive statistics and multiple regression analysis. The results indicated that the sorghum farmers adopted Samsorg-5, Samsorg-14 and Samsorg-17 improved seeds with Samsorg-5 accounting for 64.6% level of adoption, thus ranking first. The multinomial logit regression model showed that the probability of adopting one or two improved sorghum varieties increased with the farmers’ educational level, sex, farm size and labour usage in the study area. The results further revealed that the average cost of Samsorg seeds was negative and statistically significant at one percent probability level across the groups which implies that the probability of adopting any of the improved sorghum varieties reduced with its cost. The results also indicated that Samsorg-5, Samsorg-14 and Samsorg-17 improved seeds positively affected farmer’s production and productivity at 5% levels of probability. This indicated that a percentage increased in the use of these improved seeds led to an increase in the production and productivity of sorghum farmers in the study area. Also, the influence of farm size and fertilizer on output and productivity were positive and statistically significant at 1% levels of probability. The results further revealed that, the topmost constraints faced were inadequate extension services and low level of formal education at 92.1% and 56.7% ranking 1st and 2nd, respectively. Therefore, the study recommended an action-oriented plan to reach the small scale farmers with adequate information on agricultural practices to promote adoption of improved seeds in order to increase their level of productivity. Agricultural policies should be directed at making inputs available at subsidized rate, on time and at the required level. Credit facilities should be made accessible at single digit interest rate to enable them efficiently utilize inputs in order to increase their productivity level.

scholarly journals FACTORS INFLUENCING TECHNOLOGY ADOPTION BY TRADITIONAL AFRICAN VEGETABLE FARMERS IN NORTHERN GHANA

2021 ◽  
Vol 8 (1) ◽  
pp. 474-487
Author(s):  
Yakubu Balma Issaka ◽  
George Nyarko ◽  
Doris Quaidoo
Keyword(s):  
Technology Adoption ◽  
Northern Region ◽  
Policy Support ◽  
Farm Size ◽  
Northern Ghana ◽  
Vegetable Production ◽  
Access To Credit ◽  
Vegetable Farmers ◽  
African Vegetables ◽  
Improved Technology

The production of traditional African vegetables is an age-old tradition among the people of the northern region of Ghana. However, the knowledge base of traditional African vegetable production remains local due to a lack of research and policy support. Therefore, the adoption of improved technology among traditional vegetable farmers is generally low and impedes efforts to promote widespread cultivation, consumption and even commercialisation. This study aims at clarifying potential factors that determine the adoption of technologies by traditional African vegetable farmers in the northern region of Ghana. One hundred and five (105) respondents in five communities and across two administrative districts in the northern region were selected for an in-depth survey using a combination of quantitative and qualitative data collection methods. In addition, a logit regression was used to determine the effect of various factors on technology adoption by farmers. Among the factors, the educational level of a farmer, access to credit, farm size, experience in farming and access to extension support were found to be important factors affecting the decision of traditional African vegetable farmers to adopt improved technology. The results of this study can help enhance the effectiveness of policy re-orientation towards a more effective commercialisation of traditional African vegetables in Ghana and elsewhere.

scholarly journals Assessment of risk premium in farm technology adoption as a climate change adaptation strategy in the dryland systems of India

2016 ◽  
Vol 8 (5) ◽  
pp. 689-717 ◽  
Author(s):  
Krishna Reddy Kakumanu ◽  
Palanisami Kuppanan ◽  
C.R. Ranganathan ◽  
Kumar Shalander ◽  
Haileslassie Amare
Keyword(s):  
Technology Adoption ◽  
Risk Premium ◽  
Andhra Pradesh ◽  
Smallholder Farmers ◽  
Adaptation Strategies ◽  
Farm Size ◽  
Supplemental Irrigation ◽  
Content Type ◽  
Depth Analysis ◽  
Farm Mechanization

Purpose Changing climate has increasingly become a challenge for smallholder farmers. Identification of technical, institutional and policy interventions as coping and adaptation strategies and exploring risks of their adoption for smallholder farms are the important areas to consider. The aim of the present study was to carry out an in-depth analysis of adaptation strategies followed and the associated risk premium in technology adoption. Design/methodology/approach The study was carried out in the dryland systems of three Indian states – Andhra Pradesh, Karnataka and Rajasthan – and was based on a survey of 1,019 households in 2013. The flexible moment-based approach was used for estimating the stochastic production function, which allowed estimation of the relative risk premium that farmers are willing to pay while adopting the technologies to avoid crop production risks. Findings In all the three states, the risk premium (INR ha−1) was higher for farm mechanization compared to supplemental irrigation, except in the case of Andhra Pradesh. The higher the level of technology adoption, the higher the risk premium that households have to pay. This can be estimated by the higher investment needed to build infrastructure for farm mechanization and supplemental irrigation in the regions. The key determinants of technology adoption in the context of smallholder farmers were climatic shocks, investment in farm infrastructure, location of the farm, farm size, household health status, level of education, married years, expected profit and livestock ownership. Originality/value Quantification of the risk premium in technology adoption and conducting associated awareness programs for farmers and decision-makers are important to strengthen evidence-based adoption decisions in the dryland systems of India.

scholarly journals Adoption of garden coffee production technology package by smallholder farmers in Ethiopia

2021 ◽  
Vol 21 (05) ◽  
pp. 17989-18004
Author(s):  
Teshome Kassahun ◽  
Keyword(s):  
Technology Adoption ◽  
Production Technology ◽  
Smallholder Farmers ◽  
New Technology ◽  
Household Head ◽  
Index Score ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Coffee Production ◽  
Extension Services

This study investigated the level and determinants of garden coffee production technology package adoption in Ethiopia. The analysis was based on survey data collected from 293 garden coffee-growing households. The findings show that garden coffee production technology package adoption status in Dale districts was various across the smallholders’ growers. The productivity of improved coffee varieties at farm plots was less than at research plots in Dale due to low coffee production technology package adoption. The use of improved coffee varieties, weed control practices, compost application, pruning practices, shade tree management, intercropping practices, and coffee seedling planting spacingisthe main garden coffee production technology package practiced by smallholder coffee growersinDale. Thus, the garden coffee production technology package adoption index score ranged from 0.43 to 1.00. Adoption index scores were categorized into high (0.71 to 1), medium (0.5 to 0.7) and Low (0.43 to 0.49) adopters. Only 57% of farmers reached high coffee production technology adoption status but the remaining30% and 13% of garden coffee farmers attained medium and low adoption status. The mean adoption index score was found to be 0.66, which implies the overall adoption status was found under the medium technology adoption category. The maximum likelihood estimates of Tobit model result shows that gender of household head (-0.261), education level (0.09),the annual income of the household (0.003), farm size (0.031), availability of labor (0.155), credit facilities (0.087), coffee extension services (0.047) and farmer perception of improved coffee varieties (-0.024) were significant determinants of garden coffee production technology package in Dale district. Hence, for farmers to adopt new technology they must know it well. Adopting all components of the coffee production technology package simultaneously as recommended by the research center enhances coffee productivity at farm plots level. Moreover, building better coffee production extension services, institutional arrangement, and access to new technology information can possibly increase coffee production technology package adoption in Ethiopia.

scholarly journals Technology Adoption and Extension Strategies in Mediterranean Agriculture: The Case of Family Farms in Chile

Agronomy ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 692
Author(s):  
Roberto Jara-Rojas ◽  
Romina Canales ◽  
José M. Gil ◽  
Alejandra Engler ◽  
Boris Bravo-Ureta ◽  
...  
Keyword(s):  
Technology Adoption ◽  
Technical Assistance ◽  
New Technologies ◽  
Farm Size ◽  
Family Farms ◽  
Extension Services ◽  
Central Chile ◽  
Group Activities ◽  
Predominant Form ◽  
Adoption Intensity

Extension services play a crucial role by improving skills and access to information that result in greater farm level innovations, especially on family farms which are the predominant form of agriculture in the world. This study analyzed the connection between strategies implemented by extension services and technology adoption on family farms. Using the case of the Servicio de Asesoría Técnica (SAT) Program, we developed a bottom-up adoption index (AI) for vegetable and berry farmers in three regions of Central Chile. We implemented 10 focus groups totaling 101 participants, all recipients of technical assistance from private extension companies (PECs) funded by the SAT Program. After the focus group sessions, we surveyed participating farmers to gather information on socio-economic attributes and adopted technologies. Using cluster analysis, we identified three groups of farmers according to their adoption intensity. The results indicate that extension strategies used by PECs have distinct effects on the adoption of new technologies. Higher adoption indexes were positively associated with the duration of the extension visits, the number of group activities, and the use of incentives and credits provided by the Chilean government. The value of production and farm size were positively associated with adoption intensity.

scholarly journals Supermarket market-channel participation and technology decisions of horticultural producers in Brazil

2007 ◽  
Vol 45 (3) ◽  
pp. 705-727 ◽  
Author(s):  
Denise Y. Mainville ◽  
Thomas Reardon
Keyword(s):  
Human Capital ◽  
Technology Adoption ◽  
Technology Use ◽  
Capital Investment ◽  
Farm Size ◽  
Rapid Rise ◽  
Technology Design ◽  
Horticultural Products ◽  
Capital Intensive ◽  
Market Channel

This paper examined the relationships between growers’ choice of market channel (emphasizing the supermarket market-channel versus others), technology use, and grower characteristics such as human capital and farm size. Three key findings emerged. First, both tomato and lettuce growers selling to the supermarket market-channel had more human capital than those not participating. Second, while farm size was important in whether lettuce growers sell to supermarkets, it was not important for tomato growers. Third, technology use was significantly more capital-intensive among lettuce growers selling to the supermarket channels, however, that was generally not the case for tomato growers. These results are important to agribusiness researchers and policymakers interested in technology design and research and extension to enable producers to adapt to the needs of changing agrifood markets, with new requirements of attributes of products and transactions, which in turn have implications for technology adoption and human capital investment among growers. This is particularly pressing in places like Brazil where the market for horticultural products is changing quickly, conditioned by the rapid rise of supermarkets.

scholarly journals Farm Size, Technology Adoption and Agricultural Trade Reform: Evidence from Canada

2020 ◽  
Vol 71 (3) ◽  
pp. 676-697
Author(s):  
W. Mark Brown ◽  
Shon M. Ferguson ◽  
Crina Viju‐Miljusevic
Keyword(s):  
Technology Adoption ◽  
Agricultural Trade ◽  
Farm Size ◽  
Trade Reform

scholarly journals Adoption Status and Factors Determining Coffee Technology Adoption in Jimma Zone, South West Ethiopia.

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Meskerem Million ◽  
Mezigeb Like ◽  
Tamiru Chalchisa
Keyword(s):  
Technology Adoption ◽  
Negative Correlation ◽  
Educational Status ◽  
Fertilizer Application ◽  
The Other ◽  
Farm Size ◽  
Coffee Production ◽  
Positive Correlation ◽  
Shade Tree ◽  
Jimma Zone

Jimma zone is one of the most potential coffee producing areas in Ethiopia. The livelihood of the farmers is mainly depend on coffee production. However,majority of them are smalholders characterized by traditional farm management system and limited use of coffee production technology. The aim of this study was to assess the adoption status of different coffee technologies in Jimma zone and to identify the determining factors of coffee technology adoption in the area. In the study, 393 respondents were involved and the adoption status of six selected coffee technologies, namely: the adoption of improved coffee variety, stumping, pruning, fertilizer, shade and mulching was investigated. Accordingly 67.4 % of the sample respondents did not use improved coffee variety. Similarly 45.8%, 31%, 53.4%, 4.1% and 25.7% of the farmers have not yet started to use stumping, pruning, fertilizer, shade tree and mulching, respectively. The factors influencing the adoption of each of these technologies were analyzed by using binomial regression model.  As a result, age was found to be significant and negatively correlated with adoption of improved coffee variety. Sex of the farmer was the second variable which was found to be significant and had a negative correlation with mulching practice. Educational status was the other important factor which was found to be significant and had a positive correlation with adoption of the improved coffee variety, stumping technology and using shade tree. Family size was also found to be significant and had a positive correlation with using of stumping technologies, pruning, fertilizer application, mulching and shade trees. Dependency ratio, which was significant and showed a negative correlation with stumping and fertilizer application, was found to have a positive correlation with pruning. Likewise coffee farm size was found to be significant and had a negative correlation with improved coffee variety, fertilizer and mulching but it had a positive significant correlation with stumping. The coffee growing experience of the farmers was also significant and had a negative correlation with stumping, pruning and fertilizer. Moreover development agent support had a significant positive correlation with adoption of improved coffee variety, stumping, pruning, fertilizer application and mulching.Market distance was a factor that had a negative correlation with adoption of improved coffee variety, stumping, shade and mulching. Cooperative membership also showed a significant and negative corelation with improved coffee variety and pruning. Credit on the other hand was found to have a positive correlation with fertilizer application and was negatively correlated with the adoption of pruning practice and mulching. The total income of the household was found to be significant and had a positive correlation with adoption of improved coffee variety, pruning, using fertilizer and using of shade tree and training was also found to have a positive relationship with adoption of improved coffee variety, stumping technology, pruning practice, using shade tree and mulching.

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